© 2025 Bonfy.AI. All rights reserved.
AI Data Security for Content Workflows
Enabling organizations to adopt and scale AI systems and agents safely, without blind spots, data leakage, or operational friction.
Bonfy is the contextual AI data security platform for unstructured content across AI Agents and apps, email, SaaS apps, collaboration tools, ChatGPT, Claude, Copilot, Grok, Perplexity, and custom AI workflows.
Our multi‑channel architecture and entity‑aware content analysis engine detect and prevent exposures in both AI and human‑generated content, across AI Agents, email, file sharing, collaboration tools, SaaS apps, ChatGPT, Claude, Copilot, Grok, Perplexity, and internal AI‑enabled systems.
Bonfy 2.0’s low‑latency backend supports real‑time inline use cases, from browser extensions and shadow‑AI detection to agent‑to‑agent data flows.
Bonfy ACS mitigates risk for data in motion, at rest, and in use, enables entity risk management for humans and AI agents, and automates contextual data labeling for AI‑ready governance.
With deep Microsoft 365 integration, Bonfy addresses upstream and downstream risks for Copilot and other AI‑powered workflows, controlling which content is available for grounding and preventing sensitive or misrouted outputs before they reach customers or partners. Bonfy complements Microsoft Purview by providing high‑accuracy, entity‑aware labeling and cross‑SaaS enforcement, so Purview governs Microsoft while Bonfy governs the whole enterprise.
Our Adaptive Knowledge Graphs and post‑generation analysis give full context into every file, message, Copilot output, and agent‑produced artifact, who authored it, which entities it involves, and whether it violates your policies
Our Adaptive Knowledge Graphs learns from business tools and understands internal business linkages and policies to deliver post-generation analysis help you grasp every file, message, and Copilot output in context. These automated enforcement actions integrate with Slack, email, and SIEM tools to stop risks before they spread.
While AI offers transformative potential, it also brings significant risks, including breaking customer trust, information leakage, misinformation, privacy violations, copyright exposure, and harmful content. Legacy DLP solutions, reliant on outdated detection methods, struggle with false positives, missed threats, and mounting operational overhead. These challenges can result in major incidents, compliance violations, and damage to business reputation and trust.
As organizations accelerate their adoption of new AI-driven technologies to streamline productivity or to introduce automation, such as Microsoft 365 Copilot, fears around data leakage are intensifying. Modern threats require a new approach.
AI systems and agents now move information through multi‑step, automated workflows that legacy DLP and DSPM tools were never designed to see or control.
Most “AI security” offerings focus on model jailbreaks or agent configuration; Bonfy focuses on the content flowing through those systems, regardless of where the agent runs or which LLM it uses.
Legacy DLP tools can’t keep up. But now you can.
Accurate detection and prevention for data in motion or at rest with a unified AI-enabled governance layer. Identify risks across systems and flows, independent of models, methods, or edits.
Entity Risk Management: Quantifiable, explainable risk scoring and automated enforcement for high‑risk humans, service accounts, and AI agents—using the same entity‑aware engine.
Risk Prioritization: AI-driven filtering to cut false positives and surface high-impact threats.
Implement targeted or enterprise-wide controls for trustworthy AI adoption with automated labeling, audit-ready reporting, and GenAI explanations for transparency and faster value.
Enhanced compliance for GDPR, HIPAA, PCI, and CCPA with customizable policies and ready-to-use templates.
Overcome the limitations of traditional unstructured data security controls with adaptive, self-learning algorithms that continuously evolve to reduce false positives and negatives, speeding up investigations and improving threat detection.
Bonfy secures the data layer of AI agents by inspecting content flowing into, through, and out of agent workflows.
Our own MCP server allows agents to call Bonfy during reasoning to verify that content is safe, while entity‑aware analysis and ERM provide visibility into which agents generate the most risk.
Analyze communication in the form of email (including attachments), file sharing and other forms of communication prior to being sent externally, with real-time content inspection, automated risk prioritization and remediation.
Use customizable out-of-the-box policies for customer trust, privacy and IP leakage, or create your own policies.
Controlled retention, enhanced encryption, and data‑obfuscation options reduce Bonfy’s own data footprint, enabling safer adoption in regulated environments.
For deep business-context analysis.
To secure data after creation—human or AI-generated.
To reduce internal risk.
For email, chat, SaaS apps, Shadow AI tools, and custom APIs.
For instant enforcement actions.
With out-of-the-box policies (GDPR, HIPAA, PCI, CCPA, toxic content, communication safety).
Integration for real-time visibility and governance.
With BYOC, MFA, and RBAC support
Bonfy secures the data layer of AI agents by inspecting content flowing into, through, and out of agent workflows.
Our own MCP server allows agents to call Bonfy during reasoning to verify that content is safe, while entity‑aware analysis and ERM provide visibility into which agents generate the most risk.
Analyze communication in the form of email (including attachments), file sharing and other forms of communication prior to being sent externally, with real-time content inspection, automated risk prioritization and remediation.
Use customizable out-of-the-box policies for customer trust, privacy and IP leakage, or create your own policies.
Bonfy secures sensitive data (PII, financial info, IT secrets) with real-time risk detection, entity management, and safe AI-driven communication. Automated labeling, executive dashboards, and audit-ready reporting ensure transparency while reducing overhead.
Tech companies must protect IP, source code, secrets, and proprietary designs while enabling AI-powered development. Prebuilt policies stop leakage of critical assets like API keys, credentials, encryption keys, and code snippets.
© 2025 Bonfy.AI. All rights reserved.